• Journal of Fashion Business
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• v.11 no.4
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• pp.82-91
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• 2007

The purpose of this study is to evaluate the differences of visual effects by variations in the shoulder length and puff volume of the puff sleeve blouse. The stimuli are 21 samples: 3 variations of the shoulder length and 7 variations of the puff volume. The data has been obtained from 40 fashion design majors. The data has analyzed by Frequency, Factor Analysis, ANOVA, Scheffe's test and MCA method. The result of the study are as follows. The visual effects by the shoulder length and puff volume are composed of 4 factors : the width of the upper body, the shape of the breast part, the shape of the neck part and the shape of the upper arm. In these factors, the width of the upper body is estimated by most important factor. In view of the visual effects by variation of the shoulder length, the shorter shoulder length goes, the more positive visual image comes in the shape of the breast part. In comparison of the differences of visual effects by the 7 variations of puff volume, the arm looks thin and long when the puff volume goes enough and the breast part has a better visual assesment in case the puff volume goes poor. In the interaction effects between the shoulder length and puff volume, the shoulder length have significant differences in the shape of the breast part, the shape of the neck part and the shape of the upper arm and puff volume has significant difference in the width of the upper body.

• The Korean Journal of Cytopathology
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• v.10 no.1
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• pp.21-26
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• 1999

To make the objective standard of nuclear size ingrading nuclear pleomorphism of invasive ductal carcinoma of the breast, we measured maximal nuclear diameter of tumor cells on imprint cytology slides and histologic sections from 65 cases by using computer-based image analysis system(Optimas 6.0). The maximal diameter of red blood cells were also measured to evaluate the ratio of maximal nuclear diameter of tumor cells to maximal diameter of red blood cells. The mean values of maximal nuclear diameter of tumor cells on imprint cytology slides and histologic sections were $7.56{\mu}m,\;7.53{\mu}m$ in nuclear grade 1, $8.92{\pm}0.98{\mu}m,\;9.02{\pm}0.74{\mu}m$ in nuclear grade 2, and $12.90{\pm}1.47{\mu}m,\;12.44{\pm}1.41{\mu}m$ in nuclear grade 3, respectively. There were no significant differences between values of imprint cytology and histologic section. The ratio of maximal nuclear diameter of tumor cells to maximal diameter of red blood cells were 1.3-1.4:1 in nuclear grade 1, 1.6-1.7:1 in nuclear grade 2, and 2.2-2.3:1 in nuclear grade 3. These values would be guidelines for grading nuclear pleomorphism of invasive ductal carcinoma of the breast on routine surgical pathology work.

• Women's Health Nursing
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• v.9 no.4
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• pp.379-389
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• 2003

Purpose: To identify the type of disease-related stress experienced by women who received mastectomy for breast cancer using Q methodology. Method: Q sample included 30 statements obtained from literature and interviews with women with mastectomy. P sample consisted of 22 patients with mastectomy. The data were collected from November to December 2002 and analyzed using QUANL program. Result : Four types of disease-related stress experienced by women with mastectomy were found. Type 1 was manifested for a short duration following surgery and characterized by lowered self-esteem, feelings of emptiness and depression because of impaired body image. Type 2 was characterized by declined physical strength, resulting in frequent fatigue in the daily life and less intimate relationship with spouse. Type 3 was manifested by perfectionists with strong sense of self-pride who received or considered breast reconstruction surgery. Type 4 was reported by those who had long period of post-surgery. This type reported a strong sense of discomfort for wearing an artificial breast but didn't show any intention of trying breast reconstruction surgery. Conclusion: Women with mastectomy were found to experience different type of disease-related distress. Therefore, nurses should assess the type of stress the patient experiences following a mastectomy to provide appropriate nursing care.

• Archives of Plastic Surgery
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• v.36 no.2
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• pp.140-146
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• 2009

Purpose: Autologous breast reconstruction with abdominal tissue is one of the best options after mastectomy. In a free transverse rectus abdominis myocutaneous(TRAM) or deep inferior epigastric artery perforator(DIEP) flap, a preoperative evaluation of the precise location of perforating vessels and vascular run - off systems is required. The objective of this report is to demonstrate the usefulness of multidetector computed tomography(MDCT) in the preoperative planning of patients undergoing breast reconstruction with abdominal flap. Methods: From June 2006 to January 2008, 28 patients underwent MDCT evaluation before breast reconstruction. All subjects were females with an age range of 30 to 55 years. The CT scan was performed using a 64 - slice MDCT scanner(Brilliance 64; Philips Medical Systems, Best, Netherlands). Results: One perforator or two major perforators were marked on image in good relation with a hand - held Doppler examination and intraoperative findings. All vascular run - off systems were cleared before operation. Conclusion: Preoperative evaluation of perforator arteries with MDCT angiography is beneficial in patients undergoing breast reconstruction. This technique provides a noninvasive approach of the vascular anatomy of the entire anterior abdominal wall.

• Korean Journal of Radiology
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• v.24 no.7
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• pp.626-639
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• 2023

Objective: To investigate the association of clinical, pathologic, and magnetic resonance imaging (MRI) variables with progressive disease (PD) during neoadjuvant chemotherapy (NAC) and distant metastasis-free survival (DMFS) in patients with triple-negative breast cancer (TNBC). Materials and Methods: This single-center retrospective study included 252 women with TNBC who underwent NAC between 2010 and 2019. Clinical, pathologic, and treatment data were collected. Two radiologists analyzed the pre-NAC MRI. After random allocation to the development and validation sets in a 2:1 ratio, we developed models to predict PD and DMFS using logistic regression and Cox proportional hazard regression, respectively, and validated them. Results: Among the 252 patients (age, 48.3 ± 10.7 years; 168 in the development set; 84 in the validation set), PD was occurred in 17 patients and 9 patients in the development and validation sets, respectively. In the clinical-pathologic-MRI model, the metaplastic histology (odds ratio [OR], 8.0; P = 0.032), Ki-67 index (OR, 1.02; P = 0.044), and subcutaneous edema (OR, 30.6; P = 0.004) were independently associated with PD in the development set. The clinical-pathologic-MRI model showed a higher area under the receiver-operating characteristic curve (AUC) than the clinical-pathologic model (AUC: 0.69 vs. 0.54; P = 0.017) for predicting PD in the validation set. Distant metastases occurred in 49 patients and 18 patients in the development and validation sets, respectively. Residual disease in both the breast and lymph nodes (hazard ratio [HR], 6.0; P = 0.005) and the presence of lymphovascular invasion (HR, 3.3; P < 0.001) were independently associated with DMFS. The model consisting of these pathologic variables showed a Harrell's C-index of 0.86 in the validation set. Conclusion: The clinical-pathologic-MRI model, which considered subcutaneous edema observed using MRI, performed better than the clinical-pathologic model for predicting PD. However, MRI did not independently contribute to the prediction of DMFS.

• Journal of the Korean Society of Radiology
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• v.83 no.2
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• pp.344-359
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• 2022

Purpose To develop a denoising convolutional neural network-based image processing technique and investigate its efficacy in diagnosing breast cancer using low-dose mammography imaging. Materials and Methods A total of 6 breast radiologists were included in this prospective study. All radiologists independently evaluated low-dose images for lesion detection and rated them for diagnostic quality using a qualitative scale. After application of the denoising network, the same radiologists evaluated lesion detectability and image quality. For clinical application, a consensus on lesion type and localization on preoperative mammographic examinations of breast cancer patients was reached after discussion. Thereafter, coded low-dose, reconstructed full-dose, and full-dose images were presented and assessed in a random order. Results Lesions on 40% reconstructed full-dose images were better perceived when compared with low-dose images of mastectomy specimens as a reference. In clinical application, as compared to 40% reconstructed images, higher values were given on full-dose images for resolution (p < 0.001); diagnostic quality for calcifications (p < 0.001); and for masses, asymmetry, or architectural distortion (p = 0.037). The 40% reconstructed images showed comparable values to 100% full-dose images for overall quality (p = 0.547), lesion visibility (p = 0.120), and contrast (p = 0.083), without significant differences. Conclusion Effective denoising and image reconstruction processing techniques can enable breast cancer diagnosis with substantial radiation dose reduction.

• The Korean Journal of Nuclear Medicine Technology
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• v.14 no.1
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• pp.24-27
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• 2010

Purpose: Early diagnosis of breast is of the utmost importance to improve prognosis. We have a limitation for mammography and sonography detecting small cancer. Clinical importance of Breast Specific Gamma Imaging (BSGI) has improved for that reason. So We studied performance evaluation test of count rate and resolution with high sensitivity to the low dose of BSGI. Materials and Methods: BSGI of Dilon 6800, point source of $^{99m}Tc$ from 1.85~148 MBq (0.05~4 mCi) at the intervals of 1.85~37 MBq (0.05~1 mCi) was used for the test. Performance evaluation method was performed for measuring deadtime for choosing at the 5 different point in the useful field of view (UFOV), acquired image for 60 seconds. Compared with reference of clinical uptake distribution of breast, activity increased according to the distance change 10, 20, 30, 40, 50 mm in the useful field of view. Results: Counting curve increased according to the activity from 1.85 MBq (0.05 mCi) to the 74 MBq (2 mCi), and it change flat shape over 74 MBq (2 mCi). The variation of the full width of half maximum (FWHM) to the distance is 4.05, 4.73, 5.77, 6.90, 8.00, 9.32 mm in 1.85 MBq (0.05 mCi), 4.30, 4.80, 5.90, 7.00, 8.10, 9.07 mm in 3.7 MBq (0.1 mCi), 4.90, 5.60, 6.20, 7.20, 8.20, 9.10 mm in 5.55 MBq (0.15 mCi), 5.30, 6.10, 6.60, 7.00, 7.90, 8.70 mm in 7.40 MBq (0.2 mCi). Conclusion: Distortions of image would be acquired because of the deadtime in BSGI. We found out the fact that specification of $^{99m}Tc$ reaction under 74 MBq (2 mCi) for BSGI. Second, FWHM distribution change from varied distance from the detector, clearly distinguished the location of the lesion.

• Journal of the Korean Society of Radiology
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• v.81 no.3
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• pp.632-643
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• 2020

Purpose To investigate the correlation between magnetic resonance (MR) image-based radiomics features and the genomic features of breast cancer by focusing on biomolecular intrinsic subtypes and gene expression profiles based on risk scores. Materials and Methods We used the publicly available datasets from the Cancer Genome Atlas and the Cancer Imaging Archive to extract the radiomics features of 122 breast cancers on MR images. Furthermore, PAM50 intrinsic subtypes were classified and their risk scores were determined from gene expression profiles. The relationship between radiomics features and biomolecular characteristics was analyzed. A penalized generalized regression analysis was performed to build prediction models. Results The PAM50 subtype demonstrated a statistically significant association with the maximum 2D diameter (p = 0.0189), degree of correlation (p = 0.0386), and inverse difference moment normalized (p = 0.0337). Among risk score systems, GGI and GENE70 shared 8 correlated radiomic features (p = 0.0008-0.0492) that were statistically significant. Although the maximum 2D diameter was most significantly correlated to both score systems (p = 0.0139, and p = 0.0008), the overall degree of correlation of the prediction models was weak with the highest correlation coefficient of GENE70 being 0.2171. Conclusion Maximum 2D diameter, degree of correlation, and inverse difference moment normalized demonstrated significant relationships with the PAM50 intrinsic subtypes along with gene expression profile-based risk scores such as GENE70, despite weak correlations.

• Journal of Radiation Protection and Research
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• v.44 no.4
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• pp.149-155
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• 2019

Background: Magnetic resonance (MR) image guided radiation therapy system, enables real time MR guided radiotherapy (RT) without additional radiation exposure to patients during treatment. However, MR image lacks electron density information required for dose calculation. Image fusion algorithm with deformable registration between MR and computed tomography (CT) was developed to solve this issue. However, delivered dose may be different due to volumetric changes during image registration process. In this respect, synthetic CT generated from the MR image would provide more accurate information required for the real time RT. Materials and Methods: We analyzed 1,209 MR images from 16 patients who underwent MR guided RT. Structures were divided into five tissue types, air, lung, fat, soft tissue and bone, according to the Hounsfield unit of deformed CT. Using the deep learning model (U-NET model), synthetic CT images were generated from the MR images acquired during RT. This synthetic CT images were compared to deformed CT generated using the deformable registration. Pixel-to-pixel match was conducted to compare the synthetic and deformed CT images. Results and Discussion: In two test image sets, average pixel match rate per section was more than 70% (67.9 to 80.3% and 60.1 to 79%; synthetic CT pixel/deformed planning CT pixel) and the average pixel match rate in the entire patient image set was 69.8%. Conclusion: The synthetic CT generated from the MR images were comparable to deformed CT, suggesting possible use for real time RT. Deep learning model may further improve match rate of synthetic CT with larger MR imaging data.

• Progress in Medical Physics
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• v.20 no.1
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• pp.21-29
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• 2009

Breast cancer is the most common form of cancer among korean woman. Therefore, the early detection activities of breast cancer such as breast self-examinations, clinical breast examinations, mammography are important. A yearly mammography examination has been recommended for women aged 40 and older for the early detection of breast cancer in asymptomatic periods. However, the glandular tissue of breast is the most radiation-sensitive tissue, and the determination of average glandular dose (AGD) forms an important part of the quality control of the mammographic systems. Because of the difficulty of estimating AGD directly, it is often estimated from the measurements of the incident air kerma and by applying the appropriate conversion factors. The primary objective of this study was to standardize the method of measuring AGD. The secondary objective was to evaluate the relationships between AGD per various composition and thickness of the breast using Monte Carlo simulations. As a result, we standardized the method of measuring AGD according to International Atomic Energy Agency (IAEA) guidelines (CoP: an international code of practice). Overall, AGD for mammographic practice in Korea was less than 3.0 mGy recommended by the Korea Food and Drug Adminstration (KFDA) protocol, and Korean Institute for Accreditation of Medical Image (KIAMI). The measured and simulated AGD for a given condition were calculated as 1.7 and 1.6 mGy, respectively. For the AGDs obtained, there was no significant difference between them. The simulated AGD was dependent on the fraction of glandular tissue of the breast. The AGD increases with increasing of the breast glandularity due to increasing absorption of low energy photons. The AGD also increases as a function of breast thickness. In conclusion, the results of this study could be used as a baseline to establish a reference level of radiation dose in mammography.